Registration of Point Clouds Based on Differential Geometry of Surface’s Feature
A method for accurate registration on point clouds is presented in the paper. Manual alignment or the use of landmarks is avoided in the process of multi-view point clouds. Firstly, the differential geometric information is extracted from the point clouds. The extended Gaussian sphere and combinatio...
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Published in | Applied Mechanics and Materials Vol. 101-102; pp. 232 - 235 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Zurich
Trans Tech Publications Ltd
01.01.2012
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Subjects | |
Online Access | Get full text |
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Summary: | A method for accurate registration on point clouds is presented in the paper. Manual alignment or the use of landmarks is avoided in the process of multi-view point clouds. Firstly, the differential geometric information is extracted from the point clouds. The extended Gaussian sphere and combination features are used to define the corresponding points of crude alignment. Secondly, the optimal algorithm,the point-to-point Iterated Closest Point, is applied to the accurate registration on point clouds. Thus, the complete point cloud can be obtained in the method. |
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Bibliography: | Selected, peer reviewed papers from the International Conference on Engineering Design and Optimization (ICEDO 2011), August 19-21, 2011, Ningbo, China |
ISBN: | 3037852593 9783037852590 |
ISSN: | 1660-9336 1662-7482 1662-7482 |
DOI: | 10.4028/www.scientific.net/AMM.101-102.232 |